Journal
OPTICAL AND QUANTUM ELECTRONICS
Volume 53, Issue 8, Pages -Publisher
SPRINGER
DOI: 10.1007/s11082-021-03109-1
Keywords
Genetic algorithm; Optimization; Efficiency; Multiple bands solar cells; Detailed balance
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The paper provides theoretical evaluation and a framework for the maximum power conversion efficiency limit for multiband solar cells using genetic algorithm (GA) optimization techniques. The calculations show maximum efficiency of 62.9% and 70.3% for three and four band solar cells respectively. The algorithm development enables the design and proposal of novel and appropriate materials for photovoltaic structures to achieve maximum power conversion efficiency, paving the way for further research in the synthesis of new materials.
Multi band solar cells provide the possibility to achieve ultra-high power conversion efficiency by absorbing incident infrared wavelengths. In this paper, we provide theoretical evaluation and framework for maximum power conversion efficiency limit for multiband solar cells. In order to achieve this goal, the genetic algorithm (GA) optimization techniques are used. To precise calculation, solar cells with three and four intermediate bands are considered in detail in this paper. Our calculation shows the maximum efficiency of 62.9% and 70.3% for the three and four band solar cells, respectively. The development of this algorithm lets us design and propose a novel and appropriate materials for photovoltaic structures to achieve maximum power conversion efficiency. It should mention that the proposed method can open a new research field in the synthesis of new materials to realize the proposed idea.
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